LAMMPS (27 Nov 2018)
  using 1 OpenMP thread(s) per MPI task
# 2d polygon nparticle bodies

units		lj
dimension       2
atom_style	body nparticle 2 6

read_data       data.body
  orthogonal box = (-15.5322 -15.5322 -0.5) to (15.5322 15.5322 0.5)
  2 by 2 by 1 MPI processor grid
  reading atoms ...
  100 atoms
  100 bodies

velocity	all create 1.44 87287 loop geom

pair_style	body/nparticle 5.0
pair_coeff	* * 1.0 1.0

neighbor	0.5 bin
neigh_modify    every 1 delay 0 check yes

fix		1 all nve/body
#fix		1 all nvt/body temp 1.44 1.44 1.0
fix		2 all enforce2d

#compute         1 all body/local type 1 2 3
#dump            1 all local 100 dump.body index c_1[1] c_1[2] c_1[3] c_1[4]

#dump		2 all image 1000 image.*.jpg type type #		zoom 1.6 adiam 1.5 body type 1.0 0
#dump_modify    2 pad 5

thermo          100
run		10000
Neighbor list info ...
  update every 1 steps, delay 0 steps, check yes
  max neighbors/atom: 2000, page size: 100000
  master list distance cutoff = 5.5
  ghost atom cutoff = 5.5
  binsize = 2.75, bins = 12 12 1
  1 neighbor lists, perpetual/occasional/extra = 1 0 0
  (1) pair body/nparticle, perpetual
      attributes: half, newton on
      pair build: half/bin/atomonly/newton
      stencil: half/bin/2d/newton
      bin: standard
Per MPI rank memory allocation (min/avg/max) = 4.759 | 4.759 | 4.759 Mbytes
Step Temp E_pair E_mol TotEng Press 
       0         1.44  -0.63799525            0   0.78760475  -0.15028724 
     100     1.642337   -1.0003869            0   0.62552682   0.16140818 
     200     1.470473   -1.2465469            0   0.20922135   0.35146925 
     300    1.4834687   -1.3464946            0   0.12213946   0.40783535 
     400    1.5075814   -1.6170041            0  -0.12449852   0.11302717 
     500    1.5681124   -1.6060641            0 -0.053632801   0.23819933 
     600    1.7129405   -1.6939468            0 0.0018642497   0.46490776 
     700    1.5803869   -1.6182998            0 -0.053716823   0.36807869 
     800    1.6454324   -1.6537709            0 -0.024792836   0.21305673 
     900    1.5454528   -1.6310447            0  -0.10104644   0.22323772 
    1000    1.7596217   -1.7290976            0  0.012927885   0.12600944 
    1100    1.3845533    -1.635035            0  -0.26432721   0.31778997 
    1200    1.6448321   -1.6985254            0 -0.070141617   0.14347958 
    1300    1.6158541    -1.581817            0  0.017878542   0.16186588 
    1400    1.4702758   -1.5210898            0 -0.065516796   0.35241206 
    1500    1.5746718   -1.5427933            0  0.016131765   0.21832856 
    1600    1.5276572   -1.6755951            0  -0.16321446 -0.046196204 
    1700    1.8182153   -1.7471336            0  0.052899516   0.14576285 
    1800    1.8054446   -1.8814074            0 -0.094017286   0.11678173 
    1900    1.6318146    -1.636557            0 -0.021060549    0.2930043 
    2000    1.6187614   -1.5563095            0  0.046264283    0.3591072 
    2100    1.8270046   -1.9189568            0  -0.11022215 -0.031366859 
    2200    1.8203171   -1.8672823            0 -0.065168391   0.38665482 
    2300    2.1336582   -1.8962717            0   0.21604988   0.13283887 
    2400    1.7923604   -1.7129915            0  0.061445317   0.30554793 
    2500    1.7207328    -1.694912            0  0.008613452   0.24608272 
    2600    1.7761079   -1.7743463            0 -0.015999568   0.11128836 
    2700    1.7327782   -1.7433093            0 -0.027858862   0.17923355 
    2800    1.6869096   -1.6050313            0  0.065009255  0.082020625 
    2900     1.723365   -1.6453122            0   0.06081914   0.11381101 
    3000     1.759037   -1.7499957            0 -0.008549105   0.12711249 
    3100    1.7608876   -1.8502753            0  -0.10699653   0.10597269 
    3200    1.6030658   -1.6772861            0 -0.090250949   0.16058698 
    3300    1.6136204   -1.6247049            0 -0.027220627   0.27194341 
    3400    1.7126562   -1.6002267            0  0.095302885  0.034174254 
    3500    1.5286242   -1.5693205            0 -0.055982557 -0.028526272 
    3600    1.5529814   -1.6309948            0 -0.093543248   0.25627254 
    3700    1.4066962   -1.4583439            0  -0.06571463   0.36890582 
    3800    1.5736098   -1.5849626            0 -0.027088852   0.19376983 
    3900    1.5819362   -1.6452885            0  -0.07917158   0.17494451 
    4000     1.806905   -1.7114262            0  0.077409698  0.059568431 
    4100    1.7116803   -1.7160461            0  -0.02148265   0.12178783 
    4200    1.8262315   -1.6682893            0   0.13967987   0.25082769 
    4300    1.7548351   -1.6835554            0  0.053731392   0.39252317 
    4400    1.7564816   -1.8020325            0 -0.063115749   0.18973764 
    4500     1.727529    -1.771176            0  -0.06092227   0.51752631 
    4600     1.633861   -1.7554104            0  -0.13788808   0.43310585 
    4700    1.6678523   -1.8066719            0  -0.15549814 -0.086702533 
    4800    1.5903598   -1.7410621            0   -0.1666059  0.064914366 
    4900    1.4894085   -1.5982645            0  -0.12375007   0.23124626 
    5000    1.5422574   -1.6830449            0  -0.15621011   0.12943511 
    5100    1.6123243   -1.6577202            0 -0.061519159   0.26031057 
    5200    1.6815554   -1.6889534            0 -0.024213484    0.1747903 
    5300    1.6502994   -1.5929462            0  0.040850243   0.25623758 
    5400    1.5900521   -1.8240806            0  -0.24992903   0.17822148 
    5500    1.6976803   -1.8370034            0  -0.15629992   0.30793026 
    5600     1.737085   -1.6873775            0  0.032336607   0.32235718 
    5700    1.6995769   -1.6328398            0   0.04974131   0.22932613 
    5800    1.6299367   -1.6582188            0 -0.044581533   0.33036589 
    5900    1.6232041   -1.6456588            0 -0.038686805   0.20701623 
    6000    1.6912228   -1.6401907            0  0.034119867  0.091519693 
    6100    1.6314651   -1.6045998            0  0.010550658   0.32331621 
    6200    1.7575091   -1.7271281            0  0.012805903   0.14214943 
    6300    1.6830653   -1.7955472            0  -0.12931258   0.38730996 
    6400    1.6323392   -1.7470603            0  -0.13104448   0.16724215 
    6500     1.537874   -1.7277794            0  -0.20528423   0.28976791 
    6600    1.8375539   -1.8388229            0 -0.019644528   0.31704541 
    6700    1.7519102   -1.7739002            0 -0.039509043   0.19065098 
    6800    1.4602447   -1.6902787            0  -0.24463645   0.20244553 
    6900    1.6734836     -1.72224            0 -0.065491224   0.27092829 
    7000    1.8166001   -1.7288037            0  0.069630392   0.43514063 
    7100    1.9080746   -1.7849767            0   0.10401717  0.086258744 
    7200    1.6346559    -1.602179            0  0.016130393   0.37208486 
    7300     1.669382    -1.594527            0  0.058161153   0.12543161 
    7400    1.5858819    -1.447937            0   0.12208615   0.42666321 
    7500    1.6947983    -1.637715            0  0.040135322 -0.020875259 
    7600    1.7085903   -1.6810854            0  0.010419044    0.1341074 
    7700    1.5780919   -1.6213683            0 -0.059057356    0.3826822 
    7800    1.8079476    -1.761193            0  0.028675183  0.034143718 
    7900     1.836977   -1.8401332            0 -0.021525986   0.21458105 
    8000    1.9135057   -1.8302694            0  0.064101272   0.23217665 
    8100    1.8606829   -1.6984146            0   0.14366143   0.18168582 
    8200    1.7474236   -1.7574166            0 -0.027467252   0.26529178 
    8300    1.7637155   -1.7861969            0 -0.040118627   0.12298468 
    8400    1.6564242    -1.477104            0   0.16275596   0.14143164 
    8500    1.5868929   -1.6520125            0 -0.080988476   0.22461508 
    8600    1.7556628   -1.7647169            0 -0.026610688   0.19913257 
    8700     1.804704   -1.7892113            0 -0.0025543811    0.2825016 
    8800    1.6511248   -1.8632147            0  -0.22860119  0.041019097 
    8900    1.8323591   -1.7923506            0  0.021684941   0.21335945 
    9000    1.9100569    -1.955559            0 -0.064602644     0.158775 
    9100    1.7562572   -1.8720716            0  -0.13337695   0.19662119 
    9200    1.6566561   -1.9406507            0  -0.30056122   0.12296597 
    9300    1.8367792   -1.9060138            0 -0.087602325   0.19447518 
    9400    1.8420592   -1.6318148            0   0.19182383   0.50726082 
    9500    1.7773475   -1.6973532            0  0.062220818    0.2487172 
    9600    1.6545313    -1.701977            0 -0.063991036   0.20549434 
    9700    1.7463358   -1.8329845            0  -0.10411212   0.15498427 
    9800    1.7799071   -1.7889616            0 -0.026853542    0.3169291 
    9900    1.5838158    -1.718909            0  -0.15093133   0.46050618 
   10000    1.6100625   -1.7018091            0  -0.10784725   0.10312591 
Loop time of 0.715445 on 4 procs for 10000 steps with 100 atoms

Performance: 6038199.147 tau/day, 13977.313 timesteps/s
95.9% CPU use with 4 MPI tasks x 1 OpenMP threads

MPI task timing breakdown:
Section |  min time  |  avg time  |  max time  |%varavg| %total
---------------------------------------------------------------
Pair    | 0.35395    | 0.40307    | 0.45588    |   5.9 | 56.34
Neigh   | 0.0033705  | 0.0036112  | 0.0039394  |   0.4 |  0.50
Comm    | 0.17564    | 0.22399    | 0.26912    |   7.8 | 31.31
Output  | 0.0014601  | 0.0024824  | 0.0054784  |   3.5 |  0.35
Modify  | 0.038037   | 0.039219   | 0.04163    |   0.7 |  5.48
Other   |            | 0.04308    |            |       |  6.02

Nlocal:    25 ave 28 max 23 min
Histogram: 1 0 1 0 1 0 0 0 0 1
Nghost:    47.25 ave 49 max 42 min
Histogram: 1 0 0 0 0 0 0 0 0 3
Neighs:    113.25 ave 132 max 104 min
Histogram: 2 0 1 0 0 0 0 0 0 1

Total # of neighbors = 453
Ave neighs/atom = 4.53
Neighbor list builds = 483
Dangerous builds = 0
Total wall time: 0:00:00
